Vertical and horizontal autoscaling on Kubernetes Engine

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GKE best practices: Designing and building highly available clusters → https://goo.gle/332yPMV

Critter Junction’s traffic is set to increase exponentially, and their current infrastructure can’t meet their traffic needs. In this episode of Season of Scale, Carter Morgan shows you how to leverage Google Kubernetes Engine vertical and horizontal autoscaling to better manage workloads, or to modify resources provisioned to an individual service. Watch to learn how vertical and horizontal scaling can help you make easily scalable applications!

0:00 – Intro
0:47 – Horizontal Pod Autoscaling
1:43 – Cluster Autoscaling
2:10 – Horizontal vs. Vertical scaling
2:37 – Vertical Pod Autoscaling
3:18 – Conclusion

Watch more episodes of Season of Scale → https://goo.gle/SeasonofScale
Subscribe to get all the episodes as they come out → https://goo.gle/GCP

#SeasonofScale

Product: Application Architecture, HPA, VPA, CA; fullname: Carter Morgan;

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4 Comments
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      guillaume blaquiere
      May 23, 2022 06:53 am Reply

      Wow, great!!! However a question: what are the trigger to vertical scale up and down the pods? are the same as for the horizontal scale (memory, cpu, custom)? If so, what is the strategy? Does the pod start to scale up, and then (when the scale up limits are reached) scale out?

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      OSFBRO
      May 23, 2022 06:53 am Reply

      hi google!

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      Ashu Pal
      May 23, 2022 06:53 am Reply

      Thanks for sharing

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      Dhatrik Siripragada
      May 23, 2022 06:53 am Reply

      Nice video, thank you it was great!

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